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Registration & Modeling of Shapes with Uncertainties: Contributions and Applications to Knowledge Based Segmentation. PhD Thesis Defense, Presented on November the 15 th  of 2007 by Maxime TARON Thesis advisors :  Nikos Paragios   Marie-Pierre Jolly
Medical Imaging : the Modern Challenges ,[object Object],[object Object],[object Object],Introduction Ultrasound Imaging Positron emission tomography Computer Tomography Magnetic Resonance Imaging
Medical Imaging : the Modern Challenges ,[object Object],[object Object],[object Object],Introduction
Context and Motivations (1) ,[object Object],[object Object],[object Object],[object Object],[object Object],Anatomical Landmarks Manual Segmentations Introduction
Context and Motivation (2) ,[object Object],[object Object],[object Object],[object Object],[object Object],Introduction Animation
Overview ,[object Object],[object Object],[object Object],Introduction
Overview ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Introduction
1 st  part: Shape Registration  &  Uncertainty Estimation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Part 1
Shape Registration ,[object Object],[object Object],[object Object],[object Object],Global Local Part 1 – Shape Registration
Registration Criterion ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Part 1 – Shape Registration
Deformable template and distance map deformations ,[object Object],[object Object],[object Object],[object Object],Part 1 – Shape Registration
Types of Transformations : Global Transform ,[object Object],[object Object],Part 1 – Shape Registration Affine Identity Rigid + scale
Local Transform : Properties of  Free Form Deformation and Thin Plate Splines ,[object Object],[object Object],[object Object],[object Object],[object Object],Part 1 – Shape Registration
Local Transform : Properties of  Free Form Deformation and Thin Plate Splines ,[object Object],[object Object],[object Object],[object Object],[object Object],Part 1 – Shape Registration
Deformable template and distance map deformations ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Part 1 – Shape Registration
Registration : a review ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Part 1 – Uncertainty Estimation
Related Work on Uncertainty: ,[object Object],[object Object],[object Object],[object Object],Part 1 – Uncertainty Estimation
Introducing Uncertainty: Hessian Based. ,[object Object],[object Object],[object Object],Part 1 – Uncertainty Estimation
Introducing Uncertainty: Hessian Based (2) ,[object Object],[object Object],[object Object],Part 1 – Uncertainty Estimation
An different approach : Data Based Uncertainty ,[object Object],[object Object],[object Object],Part 1 – Uncertainty Estimation
Comparison between Hessian and Data driven ,[object Object],[object Object],[object Object],[object Object],[object Object],Part 1 – Uncertainty Estimation
Uncertainty Visualization: ,[object Object],Part 1 – Uncertainty Estimation
2 nd  part: Modeling Shape Variations ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Part 2
Problem statement and Reference Shape ,[object Object],[object Object],Part 2 – Reference model
Problem statement and Reference Shape ,[object Object],[object Object],[object Object],Part 2 – Reference model
Problem statement and Reference Shape ,[object Object],[object Object],[object Object],[object Object],Part 2 – Reference model
Statistical Modeling of Shapes: a review ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Part 2 – Introduction
Linear Model ,[object Object],[object Object],[object Object],[object Object],Part 2 – Linear Model ICA 1 st  modes using PCA 1 st  modes using ICA Animation Animation
Introducing ICA ,[object Object],[object Object],Part 2 – Linear Model ICA Distribution in the parameter space Distribution in the ICA space s1 s2
Generate new samples ,[object Object],[object Object],Part 2 – Linear Model ICA
Building Statistical model using ICA ,[object Object],[object Object],[object Object],Part 2 – Linear Model ICA Projection of the Data on Independent Components
Towards non-parametric modeling,  ,[object Object],[object Object],[object Object],Part 2 – non-linear Model
Non-parametric Density approximation with kernels ,[object Object],[object Object],[object Object],[object Object],Part 2 – non-linear Model
Non-parametric Density approximation with variable bandwidth kernels. ,[object Object],[object Object],Part 2 – non-linear Model
Dimensionality Reduction ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Part 2 – non-linear Model
3 rd  part: Knowledge-Based Segmentation ,[object Object],[object Object],Part 3
Segmentation with Model Fitting. ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Part 3 - Introduction
Cardiac Left Ventricle Segmentation :  Region Based Image Term ,[object Object],[object Object],[object Object],Blood Pool LV Lung RV Setting Set of Points on Interfaces between regions Setting Set of Points on Interfaces between regions Part 3 – Left Ventricle Segmentation Animation
Knowledge-based Segmentation. ,[object Object],[object Object],Part 3 – Left Ventricle Segmentation Animation
Qualitative Results Part 3 – Left Ventricle Segmentation Animation
Qualitative Results Part 3 – Left Ventricle Segmentation
Qualitative Results Part 3 – Left Ventricle Segmentation
Estimate of Segmentation Uncertainty ,[object Object],[object Object],[object Object],[object Object],Part 3 – Left Ventricle Segmentation
Segmentation of the Corpus callosum: Region based image term. ,[object Object],[object Object],Part 3 – Corpus Callosum Segmentation
Knowledge based segmentation,  introducing shape uncertainty. ,[object Object],[object Object],[object Object]
Variable Bandwidth Kernel Densities:  Hybrid estimator ,[object Object],[object Object],[object Object],[object Object],Part 3 – Corpus Callosum Segmentation
Part 3 – Corpus Callosum Segmentation Animation
General Conclusion ,[object Object],[object Object],Conclusion
Contributions. ,[object Object],[object Object],[object Object],[object Object],[object Object],Conclusion Prior shape Model + Posterior Registration Modeling Segmentation Uncertainty Uncertainty
Future Directions ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Conclusion
Related Publications ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Conclusion
Thank you for your attention Animation
 
An application of the 3D Free Form Deformation : 3d morphing: ,[object Object],[object Object],[object Object],[object Object],Appendix Animation Animation
3D Shape Registration on Full Body Meshes ,[object Object],Videos Appendix Animation
Application to digits Recognition (1) ,[object Object],[object Object],Appendix
Application to digits Recognition (2) Appendix

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Registration & Modeling of Shapes with Uncertainties

  • 1. Registration & Modeling of Shapes with Uncertainties: Contributions and Applications to Knowledge Based Segmentation. PhD Thesis Defense, Presented on November the 15 th of 2007 by Maxime TARON Thesis advisors : Nikos Paragios Marie-Pierre Jolly
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  • 40. Qualitative Results Part 3 – Left Ventricle Segmentation Animation
  • 41. Qualitative Results Part 3 – Left Ventricle Segmentation
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  • 47. Part 3 – Corpus Callosum Segmentation Animation
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  • 52. Thank you for your attention Animation
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  • 57. Application to digits Recognition (2) Appendix